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Hardware Requirements

Welcome to the Hardware Requirements section!

This section outlines the hardware infrastructure required to support the Physical AI curriculum and research workloads. Understanding the right hardware setup is crucial for successfully implementing the concepts covered in this course.

Overview​

These requirements are divided into three main computational domains:

  • Physics simulation - Running high-fidelity digital twins
  • Visual perception - Processing sensor data and computer vision
  • Generative AI - Training and deploying AI models

Section Structure​

This section is organized into the following topics:

  1. Digital Twin Workstation: The primary machine for running high-fidelity simulations in environments like NVIDIA Isaac Sim.
  2. Physical AI Edge Kit: The onboard computational "brain" of the physical robot.
  3. Robot Lab Options: Various physical robot body options based on budget and research goals.
  4. System Architecture Summary: How the simulation workstation and edge device work together.
  5. Cloud-Native Alternative: Cloud-based setup options and their limitations.
  6. Latency Constraint: Critical considerations for real-time robot control.

Each topic provides detailed specifications, recommendations, and practical considerations to help you build the right hardware setup for your Physical AI journey.